2021
DOI: 10.4239/wjd.v12.i12.2027
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Omics era in type 2 diabetes: From childhood to adulthood

Abstract: Parallel to the dramatic rise of pediatric obesity, estimates reported an increased prevalence of type 2 diabetes (T2D) already in childhood. The close relationship between obesity and T2D in children is mainly sustained by insulin resistance (IR). In addition, the cardiometabolic burden of T2D including nonalcoholic fatty liver disease, cardiovascular disease and metabolic syndrome is also strictly related to IR. Although T2D pathophysiology has been largely studied in an attempt to improve therapeutic option… Show more

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Cited by 6 publications
(5 citation statements)
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“…Several studies interrogating different omics data have been conducted attempting to address these questions ( Hosseinkhani et al, 2021 ; Passaro et al, 2021 ). However, commonly used association analyses between diet, microbiome composition, and disease do not infer causality or attempt to establish master regulators/pathways that can be affected by inverse causality and other confounding factors.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies interrogating different omics data have been conducted attempting to address these questions ( Hosseinkhani et al, 2021 ; Passaro et al, 2021 ). However, commonly used association analyses between diet, microbiome composition, and disease do not infer causality or attempt to establish master regulators/pathways that can be affected by inverse causality and other confounding factors.…”
Section: Introductionmentioning
confidence: 99%
“…Large scale omics approaches have provided an invaluable resource for discovering the disease development and druggable targets in many different diseases (89)(90)(91), and technological advances continue to make these technologies more powerful and affordable. To date, the use of genomics, transcriptomics, proteomics, metabolomics, and lipidomics have been more focused on identifying biomarkers for the presence or absence of FA, however application of these technologies could also be used for the characterization of FA development.…”
Section: Metabolomics/lipidomics In Fa Developmentmentioning
confidence: 99%
“…Large‐scale omics approaches have been an invaluable asset for the identification of diagnostic and prognostic markers, as well as for defining disease endotypes for a wide variety of diseases and pathologies, 38‐40 however, so far, there has been limited application of these approaches to FA. Recent and previous studies have used approaches such as transcriptomics, epigenomics to identify markers for processes such as reaction diagnosis of allergy, reaction severity and outcomes during OIT, which may lead to innovative improvements to standard clinical assays 28,41‐48 .…”
Section: Diagnosis and Endotypingmentioning
confidence: 99%